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IoT-Based Smart Visitor Counter System for Museum Crowd Management


Authors : Uggina Revathi; Darmisetti Govardhan; Surisetti Pravallika; Nayira Sowjanya; A. Swapna

Volume/Issue : Volume 11 - 2026, Issue 3 - March


Google Scholar : https://tinyurl.com/mvzn2se8

Scribd : https://tinyurl.com/56dbzhv9

DOI : https://doi.org/10.38124/ijisrt/26mar1315

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The rapid growth of smart technologies has significantly influenced the management of public spaces such as museums. This paper presents a comprehensive IoT-based smart visitor counter system designed to enhance crowd management and operational efficiency in museums. Traditional visitor counting methods rely heavily on manual processes, which are often inaccurate, time-consuming, and inefficient, especially during peak hours and special exhibitions. The proposed system utilizes infrared (IR) sensors integrated with a microcontroller to automatically detect visitor entry and exit in real time. The collected data is processed and transmitted to a cloud platform through a Wi-Fi module, enabling remote monitoring and advanced analytics. Experimental results demonstrate that the system achieves an accuracy of approximately 95 percent under controlled conditions. The system also facilitates data-driven decision-making by identifying visitor trends, peak hours, and resource utilization. Due to its cost-effectiveness, scalability, and ease of deployment, the proposed solution is highly suitable for modern smart museums and smart city environments.

Keywords : Internet of Things, Smart Museum, Visitor Counter System, Embedded Systems, Cloud Computing, Real-Time Monitoring, Data Analytics.

References :

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The rapid growth of smart technologies has significantly influenced the management of public spaces such as museums. This paper presents a comprehensive IoT-based smart visitor counter system designed to enhance crowd management and operational efficiency in museums. Traditional visitor counting methods rely heavily on manual processes, which are often inaccurate, time-consuming, and inefficient, especially during peak hours and special exhibitions. The proposed system utilizes infrared (IR) sensors integrated with a microcontroller to automatically detect visitor entry and exit in real time. The collected data is processed and transmitted to a cloud platform through a Wi-Fi module, enabling remote monitoring and advanced analytics. Experimental results demonstrate that the system achieves an accuracy of approximately 95 percent under controlled conditions. The system also facilitates data-driven decision-making by identifying visitor trends, peak hours, and resource utilization. Due to its cost-effectiveness, scalability, and ease of deployment, the proposed solution is highly suitable for modern smart museums and smart city environments.

Keywords : Internet of Things, Smart Museum, Visitor Counter System, Embedded Systems, Cloud Computing, Real-Time Monitoring, Data Analytics.

Paper Submission Last Date
30 - April - 2026

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